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Question

Which of the following are measures of dispersion?

A. Standard Deviation
B. Quartile Deviation
C. Mode
D. Variance
E. Range

Choose the correct answer from the options given below:

The correct answer is
A, B, D, E Only

Dispersion Measures Explained

Measures of dispersion quantify the spread or variability of data points in a dataset. Let's analyze the given options:

  • Standard Deviation (A): Measures the average amount of variability in the data. It's a key measure of dispersion.
  • Quartile Deviation (B): Measures the spread of the middle 50% of the data. It's also a measure of dispersion.
  • Mode (C): Represents the most frequently occurring value in a dataset. It is a measure of central tendency, not dispersion.
  • Variance (D): The square of the standard deviation, indicating the degree of data spread. It's a measure of dispersion.
  • Range (E): The difference between the highest and lowest values in a dataset. It's the simplest measure of dispersion.

Identifying Correct Measures

Based on the analysis, the measures of dispersion from the list are:

  • Standard Deviation (A)
  • Quartile Deviation (B)
  • Variance (D)
  • Range (E)

The mode (C) is a measure of central tendency.

Conclusion

Therefore, the correct set of measures of dispersion includes A, B, D, and E.

The correct option is the one listing A, B, D, E Only.

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Important Questions from Measures of Dispersion

  1. When Mean deviation is divided by the average used in finding out the mean deviation itself, the resulting quantity is described as_____________.
    .

  2. Match List - I with List - II.

    List - IList - II
    (A) Coefficient of Dispersion   (I) Standard deviation as a percentage of mean
    (B) Standard Deviation(II) Mean of squared deviations of individual scores from mean
    (C) Coefficient of variation(III) Variance in terms of mean
    (D) Variance(IV) Positive square root of variance
  3. The distribution, which is skewed to the left, has one high point and has many high scores is called
  4. Two sets of data consisting of 10 and 20 observations have same mean 8 with standard deviations of 1 and 2, respectively. If the two data sets are combined, then the variance is
  5. Two data set of sizes 9 and 6 have standard deviation 3 and 4 respectively and arithmetic means 3 respectively. The standard deviation of combined data set of size 15 is

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